ryantibs / genlassoLinks
Path algorithm for generalized lasso problems
☆32Updated 2 years ago
Alternatives and similar repositories for genlasso
Users that are interested in genlasso are comparing it to the libraries listed below
Sorting:
- Generalized lasso implementations☆46Updated 10 months ago
- Sparse Principal Component Analysis (SPCA) using Variable Projection☆70Updated 7 years ago
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated 2 years ago
- Randomized Matrix Decompositions using R☆100Updated 4 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- R implementation of VCBART☆22Updated last year
- ☆32Updated 3 months ago
- Stability Selection with Error Control☆26Updated 4 years ago
- repo for "Optimal Inference After Model Selection"☆14Updated 8 years ago
- iterative Random Forests (iRF): iteratively grows weighted random forests, finds interaction among features☆48Updated 4 years ago
- Regularization paths of linear, logistic, Poisson, or Cox models with overlapping grouped covariates☆20Updated 2 years ago
- ☆56Updated 3 years ago
- R package for statistical inference using partially observed Markov processes☆119Updated 3 weeks ago
- Projection predictive variable selection☆112Updated 2 weeks ago
- loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)☆155Updated 2 months ago
- Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences☆100Updated 2 months ago
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 3 years ago
- Fast truncated singular value decompositions☆131Updated last year
- R package for dimensionality reduction of small datasets☆69Updated 7 months ago
- Large-scale Bayesian variable selection for R and MATLAB.☆41Updated 2 years ago
- Build dirichletprocess objects for data analysis☆60Updated 2 years ago
- Efficient Algorithms for L0 Regularized Learning☆102Updated last year
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- Regularization paths for regression models with grouped covariates☆34Updated 3 weeks ago
- Regularization paths for SCAD- and MCP-penalized regression models☆43Updated last month
- Vintage Sparse PCA for Semi-Parametric Network Analysis☆26Updated 3 weeks ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated last year
- (R package) Analyze High-Dimensional Data Using Discrete Morse Theory☆77Updated last year
- A complete environment for Bayesian inference within R☆94Updated last year